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Beagrie, R.A.* ; Thieme, C.J.* ; Annunziatella, C.* ; Baugher, C.* ; Zhang, Y.* ; Schueler, M.* ; Kukalev, A.* ; Kempfer, R.* ; Chiariello, A.M.* ; Bianco, S.* ; Li, Y.* ; Davis, T.* ; Scialdone, A. ; Welch, L.R.* ; Nicodemi, M.* ; Pombo, A.*

Multiplex-GAM: genome-wide identification of chromatin contacts yields insights overlooked by Hi-C.

Nat. Methods 20, 1037-1047 (2023)
Postprint DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Technology for measuring 3D genome topology is increasingly important for studying gene regulation, for genome assembly and for mapping of genome rearrangements. Hi-C and other ligation-based methods have become routine but have specific biases. Here, we develop multiplex-GAM, a faster and more affordable version of genome architecture mapping (GAM), a ligation-free technique that maps chromatin contacts genome-wide. We perform a detailed comparison of multiplex-GAM and Hi-C using mouse embryonic stem cells. When examining the strongest contacts detected by either method, we find that only one-third of these are shared. The strongest contacts specifically found in GAM often involve ‘active’ regions, including many transcribed genes and super-enhancers, whereas in Hi-C they more often contain ‘inactive’ regions. Our work shows that active genomic regions are involved in extensive complex contacts that are currently underestimated in ligation-based approaches, and highlights the need for orthogonal advances in genome-wide contact mapping technologies.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Rna-polymerase-ii; Organization; Reveals; Principles; Dynamics
Language english
Publication Year 2023
HGF-reported in Year 2023
ISSN (print) / ISBN 1548-7091
e-ISSN 1548-7105
Journal Nature Methods
Quellenangaben Volume: 20, Issue: 7, Pages: 1037-1047 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Publishing Place New York, NY
Reviewing status Peer reviewed
POF-Topic(s) 30204 - Cell Programming and Repair
30203 - Molecular Targets and Therapies
30205 - Bioengineering and Digital Health
Research field(s) Stem Cell and Neuroscience
Helmholtz Diabetes Center
Enabling and Novel Technologies
PSP Element(s) G-506290-001
G-502800-001
G-503800-001
Grants NIDDK NIH HHS
Wellcome Trust
Scopus ID 85162164196
PubMed ID 37336949
Erfassungsdatum 2023-10-18